Triple
T1556418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Taylor |
E33213
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Bel Air |
E123864
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bel Air | Statement: [Elizabeth Taylor, residence, Bel Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bel Air Context triple: [Elizabeth Taylor, residence, Bel Air]
-
A.
Bel Air
chosen
Bel Air is an affluent residential neighborhood on Los Angeles’s Westside, known for its large estates, exclusivity, and celebrity residents.
-
B.
Laurel Heights
Laurel Heights is a San Francisco neighborhood that hosts one of the University of California, San Francisco’s satellite campus sites, known for its mix of residential streets and institutional buildings.
-
C.
Laurelwood
Laurelwood was a former community or tract in the San Fernando Valley that was later incorporated into what is now known as Studio City in Los Angeles, California.
-
D.
Peabody
Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
-
E.
Bella Vista
Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908704d208190937af41c6454df4e |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad370e10248190b060a0209b979ef9 |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.